Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

An artificial neural network (ANN) is a type of machine learning that identifies patterns from data to make predictions about its features. Scientists like Grace Lindsay, computational neuroscientist ...

Article reviewed by Grace Lindsay, PhD from New York University. Scientists design ANNs to function like neurons. 6 They write lines of code in an algorithm such that there are nodes that each contain ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

The investigators said their new system makes it possible for researchers to leverage artificial intelligence even if they do not have expertise working with advanced software. Artificial intelligence ...

The first to attempt to calculate the speed of light was made in 1638, albeit unsuccessfully, by the “polymath from Pisa” Galileo Galilei, an Italian physicist, astronomer, natural philosopher, ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.